tag :: neural of algorithms,

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2Designing a neural network by a genetic algorithm with partial fitness
M. Fukumi, S. Omatu, и Y. Nishikawa. Proceedings of the IEEE International joint Conference on Neural Networks 1995, IJCNN'95, 4, стр. 1834--1838. IEEE Computer Society, (ноября 1995)
14 лет назад , @cocus
(artificial
Fourier
algorithm,
algorithms,
chromosome,
coin
convergence
convergence,
crossover
feedforward
fitness,
genetic
intelligence),
learning
learning,
methods,
nets,
network,
neural
numerical
object
of
operation
operation,
partial
recognition
recognitionFourier
selection
spectra,
system,
transform
transform,
(artificialFourieralgorithm,algorithms,chromosome,coinconvergenceconvergence,crossoverfeedforwardfitness,geneticintelligence),learninglearning,methods,nets,network,neuralnumericalobjectofoperationoperation,partialrecognitionrecognitionFourierselectionspectra,system,transformtransform,
(0)
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2Dynamic analyses of information encoding in neural ensembles.
R. Barbieri, L. Frank, D. Nguyen, M. Quirk, V. Solo, M. Wilson, и E. Brown. Neural Comput., 16 (2): 277--307 (февраля 2004)
16 лет назад , @hake
(Computer),
15006097
Action
Algorithms,
Animals,
Behavior,
Comparative
Computer-Assisted,
Exploratory
Gov't,
Hippocampus,
Long-Evans,
Nerve
Net,
Networks
Neural
Neurons,
Non-P.H.S.,
Non-U.S.
P.H.S.,
Potentials,
Processes,
Processing,
Rats,
Reaction
Reproducibility
Research
Results,
Signal
Stochastic
Study,
Support,
Synaptic
Time,
Transmission,
U.S.
of
(Computer),15006097ActionAlgorithms,Animals,Behavior,ComparativeComputer-Assisted,ExploratoryGov't,Hippocampus,Long-Evans,NerveNet,NetworksNeuralNeurons,Non-P.H.S.,Non-U.S.P.H.S.,Potentials,Processes,Processing,Rats,ReactionReproducibilityResearchResults,SignalStochasticStudy,Support,SynapticTime,Transmission,U.S.of
(0)
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2Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery
W. Langdon, S. Barrett, и B. Buxton. Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, том 2611 из LNCS, стр. 87--98. University of Essex, UK, Springer-Verlag, (14-16 April 2003)
17 лет назад , @brazovayeye
(HTS)
(ROC),
Characteristics
Operating
Receiver
adaboost,
algorithms,
artificial
classifiers,
clementine,
data
design,
drug
ensemble
fusion,
genetic
high
networks,
neural
of
programming,
put
screening
through
(HTS)(ROC),CharacteristicsOperatingReceiveradaboost,algorithms,artificialclassifiers,clementine,datadesign,drugensemblefusion,genetichighnetworks,neuralofprogramming,putscreeningthrough
(0)
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3Combining Decision Trees and Neural Networks for Drug Discovery
W. Langdon, S. Barrett, и B. Buxton. Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, том 2278 из LNCS, стр. 60--70. Kinsale, Ireland, Springer-Verlag, (3-5 April 2002)
17 лет назад , @brazovayeye
(HTS)
(ROC),
C4.5,
Characteristics
Operating
Receiver
algorithms,
artificial
classifiers,
clementine,
data
decision
design,
drug
ensemble
fusion,
genetic
high
networks,
neural
of
programming,
put
screening
through
trees
(HTS)(ROC),C4.5,CharacteristicsOperatingReceiveralgorithms,artificialclassifiers,clementine,datadecisiondesign,drugensemblefusion,genetichighnetworks,neuralofprogramming,putscreeningthroughtrees
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1Automatic Definition of Modular Neural Networks
F. Gruau. Adaptive Behaviour, 3 (2): 151--183 (1995)
17 лет назад , @brazovayeye
algorithms,
animats,
automatic
cellular
definition
encoding,
genetic
locomotion,
modularity,
neural
of
programming,
subnetworks
algorithms,animats,automaticcellulardefinitionencoding,geneticlocomotion,modularity,neuralofprogramming,subnetworks
(0)
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1Description of RANNs and their generalisation capabilities by means of rule extraction by genetic programming
M. Gestal, J. Rabuñal, J. Dorado, и J. Pereira Loureiro. Artificial Intelligence and Soft Computing, стр. 323--328. Palma de Mallorca, Spain, IASTED/ACTA Press, (августа 2006)
17 лет назад , @brazovayeye
Algorithm
Artificial
Capabilities,
Example
Extraction,
Generalisation
Generation,
Networks,
Neural
Prediction
Recurrent
Rule
Series
algorithms,
genetic
of
programming,
AlgorithmArtificialCapabilities,ExampleExtraction,GeneralisationGeneration,Networks,NeuralPredictionRecurrentRuleSeriesalgorithms,geneticofprogramming,
(0)
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1A validation of the component-based method for software size estimation
J. Dolado. IEEE Transactions on Software Engineering, 26 (10): 1006--1021 (октября 2000)
17 лет назад , @brazovayeye
II
Mark
algorithms,
code,
component-based
estimation,
fourth-generation
function
genetic
language,
lines
management,
method,
networks,
neural
of
planning,
points,
prediction,
programming,
reusability,
size
software
work
IIMarkalgorithms,code,component-basedestimation,fourth-generationfunctiongeneticlanguage,linesmanagement,method,networks,neuralofplanning,points,prediction,programming,reusability,sizesoftwarework
(0)
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3A data mining approach to time series modelling and forecasting
V. Babovic. Proceeding of the Third International Conference on Hydroinformatics, стр. 847--856. Copenhagen, Denmark, Balkema, (1998)
17 лет назад , @brazovayeye
Prague,
River
Vltava
algorithms,
and
artificial
control
flood
genetic
networks
neural
of
programming,
protection
system,
Prague,RiverVltavaalgorithms,andartificialcontrolfloodgeneticnetworksneuralofprogramming,protectionsystem,
(0)
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2Designing a neural network by a genetic algorithm with partial fitness

2Dynamic analyses of information encoding in neural ensembles.

2Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery

3Combining Decision Trees and Neural Networks for Drug Discovery

1Automatic Definition of Modular Neural Networks

1Description of RANNs and their generalisation capabilities by means of rule extraction by genetic programming

1A validation of the component-based method for software size estimation

3A data mining approach to time series modelling and forecasting

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